Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification

Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification

Bibliographic Details
Main Author: Bakshi, Arjun
Language:English
Published: University of Cincinnati / OhioLINK 2013
Subjects:
Computer Science
Cost sensitive
High Confidence
Association Rules
Classification
Non forced
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin13778680852021-08-03T06:19:24Z Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification Bakshi, Arjun Computer Science Cost sensitive High Confidence Association Rules Classification Non forced Rule based classifiers are often used to make crucial decision in domains like medicine and business intelligence, where there is a need to build insightful models that are quick to train, perform accurate classification, and take the costs of mistakes into account while making or helping with predictions. The existing techniques that address these requirements suffer from some disadvantages that cause them to generate overly complicated rule sets that sometimes do not perform well on new data, or do not take differing misclassification costs into account. The work proposed here aims to build a rule based classifier that extracts rules that have higher support and confidence than existing techniques as well as a classification model that minimizes the cost incurred from misclassifications by making cost sensitive decisions and flagging instances that are likely to be misclassified. 2013-10-21 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Cost sensitive
High Confidence
Association Rules
Classification
Non forced
spellingShingle Computer Science
Cost sensitive
High Confidence
Association Rules
Classification
Non forced
Bakshi, Arjun
Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
author Bakshi, Arjun
author_facet Bakshi, Arjun
author_sort Bakshi, Arjun
title Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
title_short Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
title_full Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
title_fullStr Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
title_full_unstemmed Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification
title_sort methodology for generating high-confidence cost-sensitive rules for classification
publisher University of Cincinnati / OhioLINK
publishDate 2013
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085
work_keys_str_mv AT bakshiarjun methodologyforgeneratinghighconfidencecostsensitiverulesforclassification
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